Prior to founding Keebo, Barzan was an Associate Professor of Computer Science at the University of Michigan, Ann Arbor. He has spent the last 15 years of his career conducting award-winning research at the intersection of machine learning and database systems, across the University of Michigan, MIT, UCLA and several companies that have commercialized his research.

Comparing Snowflake Auto Suspend Strategies: How “Experts” Can Be Misleading

Keebo’s Transformative Approach Earns AI-Based Snowflake Cost Optimization Honor

Snowflake Pricing Explained: A Comprehensive Guide to Costs & Savings

How Reinforcement Learning Optimizes Snowflake: Rewards, Simulators, And Real-Time Decisions

Introducing Keebo Workload Intelligence

Lessons from Instacart and Snowflake: Why We Need a Paradigm Shift


